How to Use the Fiscal Data (U.S. Treasury) MCP in OpenAI Agents SDK

Q: Does this MCP Server for OpenAI Agents SDK support historical Fiscal Data (U.S. Treasury)?

Yes, you can use querydataset to request historical paths. The Treasury API provides deep archives for nearly all fiscal reports.

Pull raw U.S. Treasury data directly into your OpenAI Agents SDK workflow for audit-ready financial analysis.

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Connect Fiscal Data (U.S. Treasury) MCP to OpenAI Agents SDK

Create your Vinkius account to connect Fiscal Data (U.S. Treasury) to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Fiscal Data (U.S. Treasury) with OpenAI Agents SDK

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Claude

Perplexity

Automated Monthly Treasury Statements

Your agent fetches precise fiscal figures using `get_mts_table_1` and `get_mts_table_9` to keep your internal reports current. No manual data entry required. By feeding these raw tables into your agent logic, you eliminate the risk of stale information. Your production system now relies on the official source of truth.

Real-time Currency Conversion Logic

Your agent uses `get_rates_of_exchange` to calculate accurate currency conversions for global transaction records. The data is pulled directly from Treasury reporting standards. This integration allows your agent to handle complex cross-border calculations without relying on third-party financial aggregators. You maintain full control over the inputs.

Direct Fiscal Dataset Queries

The `query_dataset` tool grants your agent access to over 170 unique U.S. Treasury datasets. Simply define your path and filters to retrieve specific financial records. This functionality enables your agent to run custom reports on demand. You get the exact numbers you need without wading through massive, unformatted PDF dumps.

Setup guide

Set up Fiscal Data (U.S. Treasury) MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Fiscal Data (U.S. Treasury) tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Fiscal Data (U.S. Treasury) tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Fiscal Data (U.S. Treasury) tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Fiscal Data (U.S. Treasury) Agent",
            instructions="You have access to Fiscal Data (U.S. Treasury) tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Fiscal Data (U.S. Treasury) MCP in OpenAI Agents SDK

You manage security by passing the server endpoint through the agent constructor's context manager. Since this MCP Server operates on your local machine or secure container, the data stays within your controlled environment.

Yes. Because you are querying the API directly, your agent reacts immediately to schema updates. You should implement basic validation logic to handle potential field changes.

Yes, you can use `query_dataset` to request historical paths. The Treasury API provides deep archives for nearly all fiscal reports.

Yes, the Treasury API enforces standard rate limits. You should cache your responses or use the built-in `cacheToolsList` to avoid hitting those caps during heavy agent cycles.

This server only accesses public government endpoints. It does not touch sensitive internal documents or private user credentials, ensuring your data remains isolated.

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